STP1524

    A New Methodology for Predicting Fatigue Properties of Bearing Steels: From X-Ray Micro-Tomography and Ultrasonic Measurements to the Bearing Lives Distribution

    Published: Jan 2010


      Format Pages Price  
    PDF (2.2M) 19 $25   ADD TO CART
    Complete Source PDF (50M) 19 $76   ADD TO CART


    Abstract

    This work aims at developing a new methodology for predicting the distribution of fatigue lives of bearings versus steel microstructure, namely, concentration, morphology, and properties of residual inclusions in steel. On the experimental side, X-ray micro-tomography and high frequency ultrasonic testing are used to provide the required inclusion characteristics. A physically based model is used to compute the number of cycles to crack nucleation and crack propagation up to the surface. For the statistics predictions, the inclusions and/or stringers are distributed randomly in the bearing steel according to the concentration of stringers provided by ultrasonic data. The distributions of the fatigue lives predicted by the model are compared successfully to the experimental distributions determined by fatigue tests performed on flat washer machines. Finally, it is shown that the model is able to predict the influence of the orientation of stringers on the fatigue lives.

    Keywords:

    rolling contact fatigue, bearing steel, inclusions, stringers, distribution of fatigue lives


    Author Information:

    Stienon, Alexandre
    European Research Center (CREE), Cavaillion CEDEX,

    Fazekas, Arnaud
    Assistant Professor, Université de Lyon, Villeurbanne,

    Buffiere, Jean-Yves
    Professor, Université de Lyon, Villeurbanne,

    Daguier, Pascal
    Research Group Manager, ASCOMETAL CREAS, Hagondange Cedex,

    Merchi, Ferhat
    Research Engineer, ASCOMETAL CREAS, Hagondange Cedex,

    Vincent, Alain
    Professor, Université de Lyon, Villeurbanne,


    Paper ID: STP49127S

    Committee/Subcommittee: A01.28

    DOI: 10.1520/STP49127S


    CrossRef ASTM International is a member of CrossRef.